Since its invention in 1993, Inform has been used to design hundreds of interactive novels and short stories in eight languages. This text includes a critical history of interactive writings and the university games of the 1970s. (Computer Books--Languages/Programming)

For all basic-to-intermediate level courses in Visual C# programming. An informative, engaging, challenging and entertaining introduction to Visual C# Created by world-renowned programming instructors Paul and Harvey Deitel, Visual C# How to Program, 6th Edition introduces students to the world of desktop, mobile and web app development with Microsoft's (R) Visual C# (R) programming language. Students will use the .NET platform and the Visual Studio (R) Integrated Development Environment to write, test, and debug applications and run them on a wide variety of Windows (R) devices. At the heart of the book is the Deitel signature live-code approach-rather than using code snippets, the authors present concepts in the context of complete working programs followed by sample executions. Students begin by getting comfortable with the Visual Studio Community edition IDE and basic C# syntax. Next, they build their skills one step at a time, mastering control structures, classes, objects, methods, variables, arrays, and the core techniques of object-oriented programming. With this strong foundation in place, the authors introduce more sophisticated techniques, including searching, sorting, data structures, generics, and collections. Additional practice is provided through a broad range of example programs and exercises selected from computer science, business, education, social issues, personal utilities, sports, mathematics, puzzles, simulation, game playing, graphics, multimedia and many other areas.

"In this day and age of 'too much information and not enough time, ' the ability to get to the bottom line quickly and in a concise method is what excels companies to the top of their industry. The techniques in this book will allow you to do things you only dreamt of." -Jerry Kohl, president of Brighton Collectibles Develop your Excel macro programming skills using VBA instantly with proven techniques Automate Reports Handle Errors Master Pivot Tables Produce Charts Build User-Defined Functions Migrate to Excel 2007 Query Web Data Build Dialog Boxes Use Data Visualizations Automate Word You are an expert in Excel, but the macro recorder doesn't work and you can't make heads or tails out of the recorded code. If this is you, buy this book. Macros that you record today might work today but not tomorrow. Recorded macros might handle a dataset with 14 records but not one with 12 or 16 records. These are all common problems with the macro recorder that unfortunately cause too many Excel gurus to turn away from writing macros. This book shows you why the macro recorder fails and the steps needed to convert recorded code into code that will work every day with every dataset. The book assumes that you know Excel well, but there is no need for prior programming experience. This book describes everything you could conceivably need to know to automate reports and design applications in Excel VBA. Whether you want to automate reports for your office or design full-blown applications for others, this book is for you.

• Learn VBA syntax as easy-to-understand English
• Automate Excel's power tools: Pivot Tables, Charts, Advanced Filters
• Save hours per week by automating redundanttasks
• Create applications built on top of Excel with custom dialog boxes
• Automatically produce hundreds of Excel reports in seconds
• Understand how changes in Excel 2007 impact your VBA macros

Introduction 1 1 Unleash the Power of Excel with VBA 7 2 This Sounds Like BASIC, So Why Doesn't It Look Familiar? 29 3 Referring to Ranges 61 4 User-Defined Functions 75 5 Looping and Flow Control 101 6 R1C1-Style Formulas 121 7 What's New in Excel 2007 and What's Changed 135 8 Create and Manipulate Names in VBA 143 9 Event Programming 155 10 UserForms--An Introduction 177 11 Creating Charts 197 12 Data Mining with Advanced Filter 249 13 Using VBA to Create Pivot Tables 281 14 Excel Power 337 15 Data Visualizations and Conditional Formatting 373 16 Reading from and Writing to the Web 393 17 XML in Excel 2007 413 18 Automating Word 421 19 Arrays 441 20 Text File Processing 449 21 Using Access as a Back End to Enhance Multi-User Access to Data 461 22 Creating Classes, Records, and Collections 477 23 Advanced UserForm Techniques 493 24 Windows Application Programming Interface (API) 517 25 Handling Errors 529 26 Customizing the Ribbon to Run Macros 543 27 Creating Add-Ins 569 Index 577

Formal and Practical Aspects of Domain-Specific Languages: Recent Developments is a collection of academic works containing current research on all aspects of domain-specific language. This book is a comprehensive overview in the computer language field and aims to be essential for scholars and practitioners in the software engineering fields by providing new results and answers to open problems in DSL research.

Jump-start your career as a data scientist--learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that's dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn't cover SQL broadly. Instead, you'll learn the subset of SQL skills that data analysts and data scientists use frequently. You'll also gain practical advice and direction on "how to think about constructing your dataset." Gain an understanding of relational database structure, query design, and SQL syntax Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms Review strategies and approaches so you can design analytical datasets Practice your techniques with the provided database and SQL code In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner's perspective, moving your data scientist career forward!

Radical developments in financial management, spurred by improvements in computer technology, have created demand for people who can use modern financial techniques combined with computer skills such as C++. Dr. Brooks gives readers the ability to express derivative solutions in an attractive, user-friendly format, and the ability to develop a permanent software package containing them. His book explains in detail how to write C++ source code and at the same time explains derivative valuation problems and methods. Entry level as well as experienced financial professionals have already found that the ability to understand and write C++ code has greatly enhanced their careers. This is an important hands-on training resource for practitioners and a clearly presented textbook for graduate-level students in business and finance.

Dr. Brooks combines object-oriented C++ programming with modern derivatives technology and provides numerous examples to illustrate complex derivative applications. He covers C++ within the text and the Borland C++Builder program, on which the book is based, in extensive appendices. His book combines basic C++ coding with fundamental finance problems, illustrates traditional techniques for solving more complicated problems, and develops the reader's ability to express complex mathematical solutions in the object-oriented framework of C++. It also reviews derivative solutions techniques and illustrates them with C++ code, reviews general approaches to valuing interest rate contingent claims, and focuses on practical ways to implement them. The result is a book that trains readers simultaneously in the substance of its field, financial derivatives, and the programming of solutions to problems in it.

Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning Key Features A no-math, code-driven programmer's guide to text processing and NLP Get state of the art results with modern tooling across linguistics, text vectors and machine learning Fundamentals of NLP methods from spaCy, gensim, scikit-learn and PyTorch Book DescriptionNLP in Python is among the most sought after skills among data scientists. With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP. The book takes you from the basics of NLP to building text processing applications. We start with an introduction to the basic vocabulary along with a workflow for building NLP applications. We use industry-grade NLP tools for cleaning and pre-processing text, automatic question and answer generation using linguistics, text embedding, text classifier, and building a chatbot. With each project, you will learn a new concept of NLP. You will learn about entity recognition, part of speech tagging and dependency parsing for Q and A. We use text embedding for both clustering documents and making chatbots, and then build classifiers using scikit-learn. We conclude by deploying these models as REST APIs with Flask. By the end, you will be confident building NLP applications, and know exactly what to look for when approaching new challenges. What you will learn Understand classical linguistics in using English grammar for automatically generating questions and answers from a free text corpus Work with text embedding models for dense number representations of words, subwords and characters in the English language for exploring document clustering Deep Learning in NLP using PyTorch with a code-driven introduction to PyTorch Using an NLP project management Framework for estimating timelines and organizing your project into stages Hack and build a simple chatbot application in 30 minutes Deploy an NLP or machine learning application using Flask as RESTFUL APIs Who this book is forProgrammers who wish to build systems that can interpret language. Exposure to Python programming is required. Familiarity with NLP or machine learning vocabulary will be helpful, but not mandatory.

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).

Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form. The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the "data-aptitude" built by the material in this book.

For courses in computer programming in Java. Provide a step-by-step introduction to programming in Java Starting Out with Java: From Control Structures through Objects provides a step-by-step introduction to programming in Java. Gaddis covers procedural programming-control structures and methods-before introducing object-oriented programming to ensure that students understand fundamental programming and problem-solving concepts. As with all Gaddis texts, every chapter contains clear and easy-to-read code listings, concise and practical real-world examples, and an abundance of exercises. With the 7th Edition, JavaFX has replaced Swing as the standard GUI library for Java in chapters that focus on GUI development. The Swing and Applet material from the previous edition is available online. Also available with MyLab Programming MyLab(TM) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.With MyLab Programming, students work through hundreds of short, auto-graded coding exercises and receive immediate and helpful feedback based on their work. Note: You are purchasing a standalone product; MyLab Programming does not come packaged with this content. Students, if interested in purchasing this title with MyLab Programming, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase boththe physical text and MyLab Programming, search for: 0135188636/9780135188637 Starting Out with Java: From Control Structures through Objects Plus MyLab Programming, 7/e Package consists of: 0134793676 / 9780134793672 MyLab Programming 0134802217 / 9780134802213 Starting Out with Java: From Control Structures through Objects